Data, Cloud & AI

AI can reshape operations, decisions, and customer experience. But without solid foundations, it remains an experiment. We bring data, cloud, and AI together in a single architecture that enables financial institutions to move safely from strategy to production-ready solutions.

Single customer view and full data auditability
Secure cloud integrated with legacy systems
AI-driven automation of processes and decisions
Controlled path from strategy to production

OUR APPROACH

3 steps to move AI beyond the pilot stage

AI models can be built quickly. Deploying them in production is much harder. The difference lies in architecture: well-organized data, a stable environment, and AI embedded in real business processes.

1. DATA
Decision quality starts with data quality
We help organize key information domains, define ownership, and establish controls for data quality and lineage.

Outcome:
- structured domains (customer, product, risk)
- single, consistent view of the customer and risk
- controls for data quality and sources
- the ability to trace decisions across processes
Outcome:
- structured domains (customer, product, risk)
- single, consistent view of the customer and risk
- controls for data quality and sources
- the ability to trace decisions across processes
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2. CLOUD
Secure environment enables secure development
We build cloud environments for financial institutions, aligned with regulations and under the organization’s control.

Outcome:
- cloud architecture tailored to the needs of the financial sector
- hybrid environment integrated with legacy systems
- security, monitoring, and service resilience
- access management, activity auditing, and cost control
Outcome:
- cloud architecture tailored to the needs of the financial sector
- hybrid environment integrated with legacy systems
- security, monitoring, and service resilience
- access management, activity auditing, and cost control
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3. AI
Effective solutions require effective implementation
We implement and scale AI in business processes, ensuring security, control, and measurable outcomes.

Outcome:
- process automation that reduces costs and handling time
- support for credit decisions, risk assessment, and fraud detection
- AI in case handling and document processing
- better experiences for customers and employees
Outcome:
- process automation that reduces costs and handling time
- support for credit decisions, risk assessment, and fraud detection
- AI in case handling and document processing
- better experiences for customers and employees
see more

ABOUT US

Altkom Software – trusted partner for banks and insurers

For over 20 years, we have supported financial institutions in delivering technology projects. We work with banks and insurers in Poland, across Europe, and in the GCC, combining deep financial sector expertise with modern technologies.

Microsoft Solutions Partner – Data & AI (Advanced Specialization)
certified specialists in Azure, Databricks, and Snowflake
experience in projects aligned with GDPR, DORA, and KNF requirements

BENEFITS

Why does our AI approach work in financial services?

AI ready for real work
Solutions are designed for real financial institution processes, not technology experiments.
Regulatory alignment
Architecture and AI models support compliance with supervisory requirements and internal policies.
AI decisions under control
Model decisions are explainable and can be justified both from a business perspective and during audits.
Data and decision traceability
You can trace where the data comes from and how it was used in the decision-making process.

Conversation with an expert
We review your processes, data, and business goals to identify where AI can deliver the greatest value.
Solution concept
We propose an architecture and implementation plan tailored to your environment and regulatory requirements.
Next steps
We outline a practical AI implementation path and the first use cases that can deliver the fastest business value.